Founded in 2012, H2O.ai is on a mission to democratize AI. As the world’s leading agentic AI company, H2O.ai converges Generative and Predictive AI to help enterprises and public sector agencies develop purpose-built GenAI applications on their private data. With a focus
ROLE PROFILE: Self-starting, passionate and intellectually curious Senior Data Protection Engineer to join the LSEG Storage and Data Protection team. Responsible for administering and engineering the data protection platform while driving automation, reliability, observability and operational
JOB ACCOUNTABILITIES • Prepare detailed financial reports, management information, dashboards and forecasts for the Group Finance Director’s review • Support the Group Finance Director by conducting business analysis and identifying opportunities for process improvement, optimization, and
At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your
At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your
At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your
At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your
At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your
About the Role We are seeking an experienced Senior Full-Stack Engineer to join our clients engineering team and lead the design and development of scalable, cloud-native applications. This role combines strong full-stack expertise with hands-on AWS
Key Responsibilities Lead the development and deployment of advanced data science and AI solutions across Machine Learning (ML), Deep Learning (DL), Generative AI, and Agentic AI use cases Lead the end-to-end model lifecycle management, including data ingestion, feature engineering, model
Key Responsibilities Design, develop, and optimize classical machine learning models (e.g., regression, classification, clustering, time-series forecasting, anomaly detection) Build and deploy deep learning models using frameworks such as TensorFlow or PyTorch for structured, unstructured, and multimodal
Key Responsibilities Define and drive enterprise-level architecture for Data Science, AI/ML, Generative AI, and Agentic AI solutions, ensuring alignment with organizational strategy and technology roadmaps Lead the design of scalable, secure, and high-performance AI platforms, covering data, model, orchestration, and serving